Simulation Software Engineer, RF & DSP

Jobtailor; California (MO); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor is seeking a software engineer to optimize MATLAB, Python, and C++ simulation models for phased array antenna systems. You will reduce memory footprint and runtime while preserving fidelity, collaborating with RF and DSP engineers.

Responsibilities include profiling, refactoring legacy MATLAB code, implementing high-performance C++ algorithms, maintaining tests, and supporting CI pipelines to validate models. A strong background in numerical methods and scientific computing is required.

Qualifications

• Bachelor's degree in Computer Science.
• 3+ years of software engineering with MATLAB, Python, and C++.
• Experience profiling and optimizing computational code for speed and memory.
• Strong knowledge of data structures, algorithms, and memory management.
• Familiar with numerical methods and scientific computing.
• Experience with Git version control.
• Strong analytical and problem-solving skills.
• U.S. citizenship or eligible work status in the U.S.
• Preferred: Master's/Ph.D. in Electrical Engineering, Applied Math, or related field.
• Preferred: Phased array antenna systems, RF simulation, or electromagnetic modeling.
• Preferred: MATLAB MEX and MATLAB/C++ co-development.
• Preferred: Parallel and distributed computing frameworks.
• Preferred: Beamforming or signal processing background.
• Preferred: Aerospace/defense or satellite communications experience.

Responsibilities

• Optimize MATLAB, Python, and C++ simulation models for phased array antenna systems.
• Profile and benchmark simulation code to identify bottlenecks.
• Refactor legacy MATLAB scripts into modular, maintainable codebases.
• Implement high-performance C++ algorithms for computational tasks.
• Collaborate with RF and DSP engineers to preserve simulation fidelity.
• Develop and maintain unit and integration tests for model validation.
• Explore parallel computing, memory management, and data structure optimization.
• Document optimization strategies and results.
• Support CI pipelines for simulation model validation.

Skills

Performance Profiling

Memory Management

Data Structures

Algorithms

Numerical Methods

Scientific Computing

Unit Testing

Analytical Skills

Problem-Solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in Electrical Engineering

Bachelor's degree in Applied Mathematics

Master's or Ph.D. in Electrical Engineering / Applied Math

Tools

MATLAB

Python

C++

Git

Parallel Computing Frameworks

CI Pipelines

Job description

• Optimize MATLAB, Python, and C++ simulation models for phased array antenna systems to reduce memory footprint and simulation runtime
• Profile and benchmark simulation code to identify performance bottlenecks and implement targeted improvements
• Refactor legacy MATLAB scripts into efficient, modular, and maintainable codebases
• Implement high-performance C++ algorithms for computationally intensive antenna and silicon modeling tasks
• Collaborate with RF and DSP engineers to understand physical models and preserve simulation fidelity
• Develop and maintain unit and integration tests to validate model accuracy before and after optimization
• Explore and integrate parallel computing, memory management and data structure optimization, algorithmic complexity reduction, and MEX file development
• Document optimization strategies, methodologies, and results
• Support continuous integration pipelines for simulation model validation

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field
• 3+ years of experience in software engineering with MATLAB, Python, and C++
• Experience profiling and optimizing computational code for speed and memory efficiency
• Strong understanding of data structures, algorithms, and memory management
• Familiarity with numerical methods and scientific computing
• Experience with version control systems (Git)
• Strong analytical and problem-solving skills
• U.S. citizenship or nationality, U.S. permanent residence, or lawful admission to the U.S. as a refugee or asylee
• Blue’s Standard Background Check
• Preferred: Master's or Ph.D. in Electrical Engineering, Applied Math, or related field
• Preferred: Experience with phased array antenna systems, RF simulation, or electromagnetic modeling
• Preferred: Knowledge of silicon RFIC and DSP design or related hardware simulation
• Preferred: Experience with MATLAB MEX files and MATLAB/C++ co-development
• Preferred: Experience with parallel and distributed computing frameworks
• Preferred: Background in signal processing or beamforming algorithms
• Preferred: Experience in aerospace, defense, or satellite communications environments

Core Competencies

Demonstrates expertise in optimizing MATLAB, Python, and C++ simulation models for phased array antenna systems, focusing on performance enhancement and memory efficiency. Proficient in collaborating with RF and DSP engineers to ensure simulation fidelity while implementing robust testing and documentation practices.

Highest-signal resume keywords

• MATLAB Optimization
• C++ Algorithm Development
• Python Simulation Modeling
• Performance Profiling
• Data Structure Optimization

Hard Skills

• MATLAB
• Python
• C++
• Performance Profiling
• Memory Management
• Data Structures
• Algorithms
• Numerical Methods
• Scientific Computing
• Unit Testing

Soft Skills

• Analytical Skills
• Problem-Solving Skills

Certifications & Qualifications

• Bachelor's Degree in Computer Science
• Bachelor's Degree in Electrical Engineering
• Bachelor's Degree in Applied Mathematics

Industry Keywords

• Phased Array Antenna Systems
• RF Simulation
• Electromagnetic Modeling
• Silicon RFIC Design
• DSP Design
• Signal Processing
• Beamforming Algorithms
• Aerospace
• Defense
• Satellite Communications

Tools & Technologies

• Version Control (Git)
• Parallel Computing Frameworks
• Continuous Integration Pipelines